Data & AI Services | ELMNTX — Full-Spectrum AI Engineering
AI / ML Services by ELMNTX

Every Model. Every Scale.
Governed Lake to Edge.

ELMNTX moves enterprises from AI experimentation to production-grade impact — with vendor-agnostic advisory, hands-on implementation, and MLOps governance across every AI discipline.

12+
AI Disciplines
100+
Organisations
4.9/5
Client Rating
4
Proprietary Products
UAE · KSA · IN · UK
Global Presence
AI Services Presentation — 12 Slides

AI That Delivers, Not Experiments

Explore our full AI services deck. Click any slide to view full-screen. Use arrow keys to navigate.

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01 · AI Services — Overview
AI Services — Overview

One AI partner. Zero data leaks. Every outcome. Vendor-agnostic, production-grade, metrics-driven.

02 · Why ELMNTX
Why ELMNTX

9 reasons enterprises choose us — Production-First, Governance as Code, Full-Spectrum AI, Vendor-Agnostic.

03 · AI/ML Consulting — 12 Domains
AI/ML Consulting — 12 Domains

Complete discipline coverage: GenAI, ML, CV, NLP, LLM/MLOps, RL, Graph ML, Time Series, Recsys, Edge AI, XAI, Synthetic Data.

04 · Data Engineering
Data Engineering

The foundation for all AI. Snowflake, BigQuery, Delta Lake, Kafka, dbt, Airflow, Flink, Milvus.

05 · Conversational AI
Conversational AI

AI that talks, acts, and remembers. Agentic workflows, omnichannel orchestration, voice-first AI.

06 · TENZYE — Agentic Bidding AI
TENZYE — Agentic Bidding AI

Smart Tender Ingestion, Compliance Gatekeeper, Predictive Bidder Intel, Live Award Simulator.

07 · ROADBOT — Road AI Platform
ROADBOT — Road AI Platform

90% faster inspections, 95%+ defect accuracy, 40% cost reduction. Potholes, cracks, asset tagging.

08 · AIBOT — Executive AI Assistant
AIBOT — Executive AI Assistant

Proactive briefings, predictive analytics, -40% decision cycle time, +50% risk identification speed.

09 · AIBOX — On-Prem Agentic AI
AIBOX — On-Prem Agentic AI

Secure. On-Prem. Agentic. All processing inside your own servers. 3-phase deployment.

10 · AIBOX Benefits
AIBOX Benefits

Total data security, custom-trained, company knowledge brain, automates complex work, future-proofs.

11 · 12-Week AIBOT Deployment
12-Week AIBOT Deployment

Discovery & Setup → Core Build → Integration & UAT → Go-Live & Handover. Sample client roadmap.

12 · Ready to Move to Impact?
Ready to Move to Impact?

Let's design your AI roadmap — vendor-agnostic, production-grade, metrics-driven.

Complete Discipline Coverage

Not Just LLMs — Full-Spectrum AI

From generative AI to edge inference, we cover every layer of the modern AI stack with production-grade delivery and measurable outcomes.

🤖

Generative AI

RAG architectures, fine-tuning (Llama 3, Mistral, GPT-4, Claude), multi-modal GenAI, safety guardrails, PII redaction, and hallucination detection.

RAGFine-tuningGuardrailsMulti-modal
📈

Machine Learning

Predictive & prescriptive ML — demand forecasting, churn, uplift modeling. Responsible AI with SHAP/LIME explainability and legacy SAS/R modernization.

ForecastingXGBoostAutoMLBias Audits
👁️

Computer Vision

Defect detection, medical imaging, retail shelf analytics, CCTV anomaly detection. YOLOv8, SAM, ViT, DeepSORT — from labeling to edge inference.

YOLOEdge CVVideo AnalyticsActive Learning
💬

NLP

Information extraction, multilingual NLP, document understanding (LayoutLM), sentiment & emotion detection, legal and medical text analytics.

NERmT5/mBERTLayoutLMHugging Face
⚙️

LLM & MLOps

LLM selection, orchestration & routing. CI/CD for ML, canary deployments, prompt tracing, token cost tracking, drift detection with LangSmith / Arize.

MLflowDVCLangSmithArize
🎯

Reinforcement Learning

Dynamic pricing, inventory optimization, multi-agent fleet coordination. Sim2Real advisory: train in Unity / NVIDIA Isaac, deploy to real environments.

Ray RLlibSim2RealMulti-Agent
🔗

Graph Machine Learning

Knowledge graphs, fraud ring detection via GNNs, supply chain risk modeling, anti-money laundering. Graph RAG for enhanced retrieval pipelines.

PyGNeo4j GDSKnowledge Graph
📡

Time Series & Anomaly

Demand, energy, and IoT telemetry forecasting with Prophet, DeepAR, TFT. Real-time anomaly detection with autoencoders and causal ML root-cause analysis.

TFTN-BEATSIsolation Forest
🔬

Recommendation Systems

Two-tower neural recsys, session-based GNNs, contextual bandits, real-time vector search with Milvus / Qdrant, and online A/B interleaving evaluation.

Two-TowerFeastQdrant

Edge AI & TinyML

Quantization (INT8), pruning, distillation for MCUs and Raspberry Pi. Federated learning across edge devices — healthcare, mobile, and IoT without data centralization.

TF LiteNVIDIA JetsonFederated ML
🛡️

Explainable AI & Safety

SHAP, LIME, counterfactuals, adversarial testing (Foolbox / CleverHans), Constitutional AI alignment layers, and interpretable model alternatives like GAMs.

SHAPLIMEAdversarial Testing
🧪

Synthetic Data

CTGAN/TVAE for tabular privacy, StyleGAN & diffusion for rare defect image generation, LLM-augmented text augmentation and time-series GANs for sensor data.

CTGANDiffusionPrivacy-Preserving
The Foundation

Data Engineering for
AI-Ready Infrastructure

"Garbage in, GenAI garbage out."

We ensure your data is reliable, fresh, and governed before a single model is trained. Every AI engagement starts with a data readiness audit.

SnowflakeBigQueryDelta Lake KafkadbtAirflow FlinkMilvusPineconeSpark OpenMetadataFeastPrefect

01Self-Service BI & Governance

  • Semantic layer & metrics store (dbt + MetricFlow)
  • Data Mesh — domain-owned data products
  • Data catalog & lineage (OpenMetadata, Atlan)
  • Column-level security via Snowflake RBAC / Databricks Unity Catalog

02Data Warehouse & Lakehouse

  • Lakehouse strategy on Delta Lake, Iceberg, or Hudi
  • Modernization from Teradata/Netezza to Snowflake/BigQuery
  • Lambda/Kappa real-time + batch patterns (Kafka → Flink → Iceberg)
  • Cost governance — query tagging, auto-suspend, partition pruning

03Big Data Engineering

  • Streaming pipelines: Kafka/Pulsar + Flink/Spark Streaming
  • Scalable ETL/ELT: dbt, Airflow, Prefect, Dagster
  • CSV/JSON → Parquet/ORC with ZSTD/Snappy compression
  • Data quality with Great Expectations / Soda auto-alerts

04Vector & Feature Infrastructure

  • Embedding pipelines: text, image, multimodal
  • Vector stores: FAISS, Milvus, Pinecone, LanceDB
  • Online/offline feature stores (Feast, Tecton)
  • Real-time features for CV, recsys, and forecasting
Proprietary Products

ELMNTX Products — Own Your AI

Two production-ready AI platforms you deploy in your own environment. Zero data leakage. Rapid time to value.

🎯 Talent Intelligence

Tenzye

tenzye.com — AI-Native Bidding & Tendering Platform

Automates tender sourcing, document parsing, compliance checks, and bid evaluation using LLMs + graph ML. Explainable, bias-free, and fully tenant-isolated.

Smart Tender Ingestion — drop any PDF/RFP, AI extracts instantly
Compliance Gatekeeper against 500+ regulations in <90 seconds
Predictive Bidder Intel — who will bid, who's high-risk
On-prem or VPC — tender data never leaves your tenant
Explore Tenzye →
🤖 Intelligent Automation

Roadbot.io

roadbot.io — Autonomous Workflow Robot

Orchestrates RPA + LLM + computer vision to automate document-heavy, cross-system processes: invoice-to-pay, contract-to-compliance, road inspection and beyond.

AI road inspection — 95%+ defect accuracy, 90% faster
Natural language process builder — describe it, Roadbot runs it
Pre-built connectors: SAP, Oracle, Salesforce, SharePoint
Audit trail with human-in-the-loop exception handling
Explore Roadbot →
Enterprise AI Platform

AI-BOX — Secure. On-Prem. Agentic.

A turnkey enterprise AI platform that transforms organizations with next-generation AI agents — without exposing a single byte to public models.

Challenge
AI-BOX Resolution
Sensitive data exposure to public AI
All processing inside your own servers
No AI-specific security controls
Prompt injection detection + output sanitization ✓
GDPR & data residency compliance
Full audit logs + role-based agent access
Agent over-permission risks
Granular just-in-time access per task
No continuous AI monitoring
Real-time dashboard of every agent action
Vendor lock-in on rules & pricing
Own your entire AI stack — no dependency

Architecture Stack

Bare metal / VMware / Kubernetes → Data lake / SharePoint → Zero-trust TLS 1.3 → Llama / Mistral + fine-tuned models → REST / event hooks to ERP/CRM → Role-specific AI agents → Unified SSO + audit engine.

Deployment Strategy — 3 Phases

1

Pilot — Quick Wins

Deploy 2–3 agents (e.g. Expense Management + Meeting Assistant) for one department. Measure ROI and adoption in 4 weeks.

2

Scale — Integrate & Govern

Add ERP/CRM integrations, enable agent-to-agent handoffs, and implement fine-grained RBAC across departments.

3

Enterprise — Full Coverage

All departments active with custom fine-tuned models. Predictive agents for forecasting and anomaly detection at scale.

AI-BOX Agents

Pre-Built Agents for Every Department

Fully customizable agent templates ship with AI-BOX — ready to deploy from day one across your entire organization.

Finance
Accounts Payable
Financial Reporting
Expense Management
Budget Optimization
Fraud Detection
Human Resources
Recruitment Assistant
Employee Onboarding
Performance Mgmt
HR Policy Assistant
Payroll Support
Procurement
Vendor Management
Purchase Orders
Inventory Optimization
Supplier Negotiation
RFQ Processing
Sales & CX
Lead Qualification
Sales Proposal
Customer Segmentation
Sentiment Analysis
Feedback Analysis
Operations
Energy Management
Security Monitoring
Asset Tracking
Compliance Monitor
Meeting Assistant
How We Work

Engagement Models for Every Stage

From a two-week feasibility sprint to ongoing fractional AI leadership — ELMNTX meets you where you are and scales as you grow.

2 Weeks

Rapid AI Assessment

We audit your data, workflows, and team maturity to produce a practical AI roadmap with tooling TCO and prioritised use-cases.

→ Maturity heatmap · 12-week roadmap · TCO analysis
Monthly Retainer

Fractional AI/ML CTO

Ongoing strategic guidance without a full-time hire. Architecture reviews, vendor selection, and team upskilling as a managed service.

→ Architecture reviews · Upskilling · Vendor advisory
6–12 Weeks

Implementation Sprint

Build a production MVP — a deployed YOLO model, LLM/RAG pipeline, recommender, or conversational agent with a full runbook.

→ Working pipeline · Deployed model · Runbook
3 Days On-Site

MLOps Upskilling Workshop

Hands-on enablement for your team — CI/CD templates, guardrail policies, and a custom workshop tailored to your stack.

→ CI/CD templates · Guardrail policies · Playbook
Why ELMNTX

What Sets Us Apart

Eight principles that govern every engagement — from first advisory call to production deployment.

🚀 Production-First Delivery

No Jupyter notebooks as final output. Everything is tested, versioned, monitored, and documented for real-world operation.

🔐 Governance as Code

Data lineage, column-level security, and model compliance baked into every pipeline — not bolted on after the fact.

🧠 Full-Spectrum AI

Not just LLMs. CV, RL, graph ML, time series, edge inference, XAI, and synthetic data — disciplines most consultancies sidestep.

🗃️ Vector-Ready Data Engineering

Embedding pipelines and vector databases as first-class infrastructure citizens, designed from the ground up — never an afterthought.

⚖️ Vendor-Agnostic but Opinionated

We recommend based on workload and your objectives — not reseller agreements, platform incentives, or commissions.

⚡ Edge-to-Cloud MLOps

One unified framework for training on GPU clusters and inferring on a $10 MCU. One governance layer, end to end.

📐 Metric-Based Success

"Reduce time-to-insight from 5 days to 2 hours" or "deflect 40% of tier-1 tickets." We measure outcomes, not effort.

📦 Owned AI IP

Tenzye, Roadbot.io, and AI-BOX give clients extensibility and security that pure advisory firms simply cannot offer.

12-Week Blueprint

Discovery to Production
in 12 Weeks

Sample roadmap for Computer Vision — fully adaptable to LLM/RAG, recsys, time series, conversational AI, or AI-BOX deployment.

Weeks 1–2

Discovery & AI Readiness

Use-case selection (e.g. manufacturing defect detection) + AI readiness report and full data audit with gap analysis.

Weeks 3–4

Data Pipeline Build

Image ingestion → labeling (Label Studio / CVAT) → DVC versioning → Albumentations augmentation pipeline.

Weeks 5–6

Model Development

YOLOv8 or Vision Transformer training + active learning loop to minimize labeling cost and maximize accuracy.

Weeks 7–8

Edge Optimization

INT8 quantization + TensorRT deployment to target edge device (NVIDIA Jetson, Google Coral, or custom MCU).

Weeks 9–10

MLOps & Monitoring

Drift detection (image histogram monitoring), automated retraining triggers, and canary deployment pipeline.

Weeks 11–12

Integration & Handover

Inference API, observability dashboards, full production runbook, and team knowledge transfer sessions.

Ready to Move from AI Experimentation
to Production Impact?

ELMNTX engineers, governs, and measures across every AI discipline — with our own secure products backing every engagement.

Talk to Our AI Team → Download Presentation